An Improved Error Bound for Gaussian Interpolation
arXiv:0712.08631 citationsh-index: 8
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It provides a better theoretical error bound for Gaussian interpolation, which is a fundamental tool in approximation theory and machine learning.
The paper presents an improved error bound for Gaussian interpolation that surpasses the current exponential-type bound, offering a tighter theoretical guarantee.
An error bound for Gaussian Interpolation which is better than the current exponential-type error bound is presented.